ArticleEntropy (Basel, Switzerland)2020
Novel Models of Image Permutation and Diffusion Based on Perturbed Digital Chaos.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Novel structures of chaos-based parallel multiple image encryption and FPGA implementation.Scientific reports · 2025Article
- Designing Two Secure Keyed Hash Functions Based on Sponge Construction and the Chaotic Neural Network.Entropy (Basel, Switzerland) · 2020Article
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2 authors.
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Abstract
Most of chaos-based cryptosystems utilize stationary dynamics of chaos for the permutation and diffusion, and many of those are successfully attacked. In this paper, novel models of the image permutation and diffusion are proposed, in which chaotic map is perturbed at bit level on state variables, on control parameters or on both. Amounts of perturbation are initially the coordinate of pixels in the permutation, the value of ciphered word in the diffusion, and then a value extracted from state variables in every iteration. Under the persistent perturbation, dynamics of chaotic map is nonstationary and dependent on the image content. The simulation results and analyses demonstrate the effectiveness of the proposed models by means of the good statistical properties of transformed image obtained after just only a single round.
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